基于遗传算法的最大功率点跟踪  

Maximum Power Point Tracking of Solar Cell Based on Genetic Algorithm

作　　者：高林[1] 谭伟[1] 

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266042

出　　处：《控制工程》2012年第4期570-573,共4页Control Engineering of China

基　　金：国家863高技术研究计划(2009AA04Z141)

摘　　要：最大功率点对于提高光伏发电系统的整体效率具有重要作用,对优化算法在最大功率点跟踪中的应用进行了研究。基于光伏发电原理,通过Matlab和S函数建立了太阳能电池的仿真计算模型。针对传统最大功率点跟踪方法自动跟踪速度与跟踪精度难于兼顾的问题,应用遗传算法建立了最大功率点跟踪模型。仿真结果表明,当光照强度、电池温度变化时,模型能够快速、精确地跟踪最大功率点。通过与爬山法的对比研究,表明在相同跟踪时间限定下,遗传算法具有更高的跟踪精度,具有良好的综合性能。Maximum power point plays an important role in highlighting whole effectiveness of photovoltaic generation system, application of optimal algorithm in maximum power point tracking is discussed. Simulation model is established using Matlab and S-Function based on photovoltaic generation, and then an MPPT method based on genetic algorithm is proposed aiming at traditional method contra- diction of slow tracking speed and low tracking precision. Simulation results demonstrate the proposed method has perfect characters for it can track the maximum power point rapidly and accurately when the environment changes quickly. Comparison by climbing method indicates that GA has higher tracking accuracy in the same tracking time and better compositive performance.

关 键 词：光伏发电 最大功率点跟踪 遗传算法 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]